Stochastic models of multi-channel particulate transport with blockage
Chlo\'e Barr\'e, Gregory Page, Julian Talbot, Pascal Viot

TL;DR
This paper develops a stochastic model for multi-channel particulate transport with blockage, analyzing steady-state flux and efficiency of different channel configurations, revealing conditions under which coupling improves throughput.
Contribution
It introduces a novel stochastic model for coupled channels with finite capacity and blockage, providing explicit solutions and efficiency comparisons for various configurations.
Findings
Coupled channels outperform independent ones if unblocking rate exceeds a quarter of exit rate.
Single large-capacity channel is more efficient at low particle flux.
Multiple fragile channels outperform a single robust channel at high flux.
Abstract
Networks of channels conveying particles are often subject to blockages due to the limited carrying capacity of the individual channels. If the channels are coupled, blockage of one causes an increase in the flux entering the remaining open channels leading to a cascade of failures. Once all channels are blocked no additional particle can enter the system. If the blockages are of finite duration, however, the system reaches a steady state with an exiting flux that is reduced compared to the incoming one. We propose a stochastic model consisting of channels each with a blocking threshold of particles. Particles enter the system according to a Poisson process with the entering flux of intensity equally distributed over the open channels. Any particle in an open channel exits at a rate and a blocked channel unblocks at a rate . We present a method to obtain…
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